Twitter/X Comments Scraper · No Cookies

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Extract Twitter post comments at scale without authentication or cookies. This scraper delivers comprehensive comment data, engagement metrics, and author profiles in seconds — perfect for sentiment analysis, competitive research, and content strategy optimization.

📺 Video Tutorial: How it Works

Inputs

Outputs

Formats: JSON, CSV, Excel

Fields: Each comment includes:

• id - Unique comment identifier
• text - Full comment text content
• display_text - Cleaned text without mentions/URLs
• likes, retweets, bookmarks, quotes, replies - Engagement metrics
• views - Impression count
• created_at - Timestamp
• conversation_id - Thread identifier
• author.name, author.screen_name, author.description - Profile details
• author.blue_verified, author.sub_count - Verification and follower count

Sample Output

{
"id":"1738107442452381976",
"text":"@elonmusk Gratitude is a musk thank you Elon",
"display_text":"Gratitude is a musk thank you Elon",
"likes":822,
"retweets":69,
"bookmarks":4,
"quotes":2,
"replies":152,
"views":"56888",
"created_at":"Fri Dec 22 08:01:21 +0000 2023",
"lang":"en",
"conversation_id":"1738106896777699464",
"author":{
"rest_id":"2800216425",
"name":"THE CHELSEA FORUM",
"screen_name":"TheChelseaForum",
"description":"The Chelsea Forum ◇|◇ A community where all Chelsea fans call their home! 💙",
"blue_verified":true,
"sub_count":259816
}
}

How to Use

Step 1: Enter the target Tweet ID in the tweetId field. Copy this from the Twitter post URL (the numeric string after /status/).

Step 2: Click "Start" to begin extraction.

Step 3: Download your results in JSON, CSV, or Excel format once the scraper completes.

Key Features

🔒 Cookieless / No Login Required - Access public Twitter comment data without authentication, cookies, or API keys. No account suspension risks or rate limit headaches.

📈 Scalable Architecture - Extract thousands of comments from viral threads with enterprise-grade infrastructure that handles high-volume data collection reliably.

✅ Rich Comment Data - Capture complete engagement metrics including likes, retweets, bookmarks, quotes, replies, views, timestamps, and conversation threads with full author profiles.

Use Cases

Social Media Managers: Monitor brand mentions and audience reactions across Twitter threads. Track sentiment shifts in real-time to adjust campaign messaging and identify emerging trends before competitors.

Market Research Analysts: Collect qualitative feedback from product launches, industry discussions, and competitor announcements. Analyze comment patterns to uncover customer pain points and feature requests.

Sales Intelligence Teams: Identify high-intent prospects engaging with industry thought leaders. Build targeted outreach lists based on comment activity, follower counts, and verification status.

🧩 Other Twitter/X Actors by Data Slayer

Need verified emails? Our LinkedIn Post Engagers Email Finder and LinkedIn Audience Email Finder extract verified work emails from LinkedIn engagement data.

💬 Feedback and Support

We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features:

• Create an issue on the Actor's Issues tab in Apify Console
• Rate the actor if it helped you — it helps others find it too

We typically respond within 24 hours.